The document discusses the roundtripping of NIF-based linguistic linked data with non-linked data sources, focusing on its application in content enrichment and processing. It includes examples in JSON-LD format, outlines workflows for different content types, and addresses challenges associated with storing annotations in various formats. Additionally, it highlights lessons learned and tools for effective roundtripping in linguistic data processing.

1. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Roundtripping of NIF based
Linguistic Linked Data with non
linked data sources
Felix Sasaki
DFKI / W3C Fellow
Slides:
http://de.slideshare.net/atcfsenzoku/sasaki-datathonmadrid2015
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2. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
What is NIF?
• Natural Language Processing Interchange
Format
– See http://nlp2rdf.org/
• LLD format to store annotations & to organize
NLP pipelines
• API specification to create NIF workflows
• More details: after the coffee break 
• Following slides: main roles for NIF
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3. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Example (Partial; JSON-LD Syntax)
{ "@graph" : [ {
"@id" : "p:char=0,18",
"@type" : [ "nif:Context", "nif:Sentence", "nif:RFC5147String" ],
"anchorOf" : "Welcome to Prague.",
"beginIndex" : "0",
"endIndex" : "18",
"isString" : "Welcome to Prague.",
"referenceContext" : "p:char=0,18”
}, {
"@id" : "p:char=11,17",
"@type" : [ "nif:RFC5147String", "nif:Word" ], …
"referenceContext" : "p:char=0,18",
"taIdentRef" : "http://dbpedia.org/resource/Prague" }, …] }
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4. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Example (Partial; JSON-LD Syntax)
{ "@graph" : [ {
"@id" : "p:char=0,18",
"@type" : [ "nif:Context", "nif:Sentence", "nif:RFC5147String" ],
"anchorOf" : "Welcome to Prague.",
"beginIndex" : "0",
"endIndex" : "18",
"isString" : "Welcome to Prague.",
"referenceContext" : "p:char=0,18”
}, {
"@id" : "p:char=11,17",
"@type" : [ "nif:RFC5147String", "nif:Word" ], …
"referenceContext" : "p:char=0,18",
"taIdentRef" : "http://dbpedia.org/resource/Prague" }, …] }
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• Identifying and typing
annotations
• Identifying annotation
offsets
• Adding additional
knowledge, e.g. named
entity identifier
• Interrelating
annotations

5. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Example (Partial; JSON-LD Syntax)
{ "@graph" : [ {
"@id" : "p:char=0,18",
"@type" : [ "nif:Context", "nif:Sentence", "nif:RFC5147String" ],
"anchorOf" : "Welcome to Prague.",
"beginIndex" : "0",
"endIndex" : "18",
"isString" : "Welcome to Prague.",
"referenceContext" : "p:char=0,18”
}, {
"@id" : "p:char=11,17",
"@type" : [ "nif:RFC5147String", "nif:Word" ], …
"referenceContext" : "p:char=0,18",
"taIdentRef" : "http://dbpedia.org/resource/Prague" }, …] }
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• Identifying and typing
annotations
• Identifying annotation
offsets
• Adding additional
knowledge, e.g. named
entity identifier
• Interrelating
annotations

6. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Example (Partial; JSON-LD Syntax)
{ "@graph" : [ {
"@id" : "p:char=0,18",
"@type" : [ "nif:Context", "nif:Sentence", "nif:RFC5147String" ],
"anchorOf" : "Welcome to Prague.",
"beginIndex" : "0",
"endIndex" : "18",
"isString" : "Welcome to Prague.",
"referenceContext" : "p:char=0,18”
}, {
"@id" : "p:char=11,17",
"@type" : [ "nif:RFC5147String", "nif:Word" ], …
"referenceContext" : "p:char=0,18",
"taIdentRef" : "http://dbpedia.org/resource/Prague" }, …] }
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• Identifying and typing
annotations
• Identifying annotation
offsets
• Adding additional
knowledge, e.g.
named entity identifier
• Interrelating
annotations

7. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Example (Partial; JSON-LD Syntax)
{ "@graph" : [ {
"@id" : "p:char=0,18",
"@type" : [ "nif:Context", "nif:Sentence", "nif:RFC5147String" ],
"anchorOf" : "Welcome to Prague.",
"beginIndex" : "0",
"endIndex" : "18",
"isString" : "Welcome to Prague.",
"referenceContext" : "p:char=0,18”
}, {
"@id" : "p:char=11,17",
"@type" : [ "nif:RFC5147String", "nif:Word" ], …
"referenceContext" : "p:char=0,18",
"taIdentRef" : "http://dbpedia.org/resource/Prague" }, …] }
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• Identifying and typing
annotations
• Identifying annotation
offsets
• Adding additional
knowledge, e.g.
named entity identifier
• Interrelating
annotations

8. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
A NIF workflow
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Existing
content
Content analytics, e.g.
named entity
recognition
Conversion to
NIF
Deploying knowledge from the LLD cloud

9. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Potential scenario: roundtripping
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Existing
content
Content analytics, e.g.
named entity
recognition
Conversion to
NIF
Storing annotations in original content
Deploying knowledge from the LLD cloud

10. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Roundtripping
• Roundtripping: Storing the outcome of
content processing (analytics) tasks in the
original content
• Not always needed, but sometimes –
examples:
– Enriching Web content with named entity
information; generating Schema.org markup via
NIF pipelines. Format: HTML
– Enriching localisation content, to add value
beyond translation: Format: XLIFF
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11. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Example: HTML
Example roundtripping workflow
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… <p>Welcome to Prague!</p>…
…<p>Welcome to <span …
itemtype="http://schema.org/Place">Prague</span>!<
/p>…
1) Conversion to NIF 2) NER processing
3) Back conversion to HTML

12. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Example: XLIFF
Example roundtripping workflow
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… <xlf:source>Welcome to Prague!</xlf:source> …
… <xlf:source>Welcome to <mrk …
its:taClassRef="http://schema.org/Place">Prague
</mrk>!</xlf:source> …
1) Conversion to NIF 2) NER processing
3) Back conversion to HTML

13. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Example usage scenario:
FREME project
• See http://www.freme-project.eu/
• Developing interfaces for multilingual and semantic
enrichment of digital content
• Relies on NIF based enrichment workflows
– See FREME API version 0.1
http://api.freme-project.eu/doc/0.1/
• Deploys aspects of the LIDER reference architecture for LLD
processing
– See D3.1.1 at http://lider-project.eu/?q=doc/deliverables
• Focuses on four business cases
– Localization BC requires XLIFF roundtripping
– Web content personalisation BC requires HTML roundtripping
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14. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Challenges for roundtripping
• Source format
– How to store enrichment information
(annotations)
– How to handle existing information
• Annotation model
– NIF = a general graph-based annotation model
– Sources format and annotation motivation may
require restriction of the model
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15. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
How to store annotations in various
source formats
• Solvable for markup languages like HTML or
XLIFF
• Challenge to preserve existing markup
“<p>Welcome to <b>Prague</b>!</p>”
• General issue with complex and proprietary
formats:
– “My own” storage mechanism = no tool support
– Using existing storage mechanisms may mean:
overloading semantics
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16. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Source format example: Word
… <w:t>Welcome to Prague!</w:t> …
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… <w:commentRangeStart w:id="0"/><w:t>Prague</w:t>
<w:commentRangeEnd w:id="0"/>
<w:r w:rsidR="00987079"> …
<w:p w:rsidRPr="00987079">… Enrichment: type "http://schema.org/Place"…</w:p>
Enrichment process; storing enrichment as comments
Change of original content: creation of anchor
Comment stored separately; refers to anchor: “standoff approach”
Content storage
Comment storage
Content storage (Word file unzipped)

17. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Annotation models
• NIF: like RDF = general graph model
– Consisting of nodes and arcs
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p:char=11,17 dbp:Prague
taIdentRef

18. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Restricting graphs: Tree structured annotations
on several layers
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• Tree structures
for syntactic
annotations
• Several
annotation layers
for the same text
• Concurrent
hierarchies
• Representation
only of one of
these in
roundtripping
with XML
Example taken from TEI http://www.tei-c.org/release/doc/tei-p5-doc/en/html/NH.html

19. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Representing overlapping hierarchies
with markup (1/2)
Solutions advertised by the TEI
• Multiple encoding of the same information
– One XML document per annotation
• Boundary marking with empty “milestone”
elements
– Also used by XLIFF
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20. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Representing overlapping hierarchies
with markup (2/2)
Solutions advertised by the TEI
• Fragmentation and reconstitution of virtual
elements
– One hierarchy explicit, others with interrelated
marked-up spans
• Stand-off markup
– Separation of text and annotations, interlinked via
anchor and reference
– Cf. Word example
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21. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Representing overlapping hierarchies
in RDF
POWLA (cf. Chiarcos, 2012)
• RDF representation for corpus annotation,
based on PAULA XML Standoff format
• Allows to represent hierarchical, multi-layer
corpora in RDF and query in SPARQL
• Not relevant for roundtripping, but for
linguistic annotation representation and
processing in RDF
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22. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Lessons learned
• Choose the overlap solution that fits your
roundtripping modelling and processing needs
• Consider off-the-shelf tooling
– For 100% hierarchical data: XPath / CSS selectors, DOM, …
• Consider libraries
– For extraction only: Tika http://tika.apache.org/
– For roundtripping: Okapi http://okapi.opentag.com/ - in
FREME currently being adapted for roundtripping in
selected formats
• Make sure the annotation survives in the original
format – cf. Word example
– Soon to be made easier by using Okapi
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23. Sasaki – LLD Datathon – Cercedilla, Spain, May 2015
Roundtripping of NIF based
Linguistic Linked Data with non
linked data sources
Felix Sasaki
DFKI / W3C Fellow
23